Literature DB >> 35459025

Survey of Cooperative Advanced Driver Assistance Systems: From a Holistic and Systemic Vision.

Juan Felipe González-Saavedra1, Miguel Figueroa1, Sandra Céspedes2, Samuel Montejo-Sánchez3.   

Abstract

The design of cooperative advanced driver assistance systems (C-ADAS) involves a holistic and systemic vision that considers the bidirectional interaction among three main elements: the driver, the vehicle, and the surrounding environment. The evolution of these systems reflects this need. In this work, we present a survey of C-ADAS and describe a conceptual architecture that includes the driver, vehicle, and environment and their bidirectional interactions. We address the remote operation of this C-ADAS based on the Internet of vehicles (IoV) paradigm, as well as the involved enabling technologies. We describe the state of the art and the research challenges present in the development of C-ADAS. Finally, to quantify the performance of C-ADAS, we describe the principal evaluation mechanisms and performance metrics employed in these systems.

Entities:  

Keywords:  Internet of vehicles; assisted perception; cooperative advanced driver assistance systems; holistic; human–machine interface; natural perception; road safety system; systemic

Mesh:

Year:  2022        PMID: 35459025      PMCID: PMC9024749          DOI: 10.3390/s22083040

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.847


  7 in total

1.  Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates.

Authors:  Jessica B Cicchino
Journal:  Accid Anal Prev       Date:  2016-11-26

2.  Effects of lane departure warning on police-reported crash rates.

Authors:  Jessica B Cicchino
Journal:  J Safety Res       Date:  2018-05-19

3.  Assessment of the safety benefits of vehicles' advanced driver assistance, connectivity and low level automation systems.

Authors:  Lishengsa Yue; Mohamed Abdel-Aty; Yina Wu; Ling Wang
Journal:  Accid Anal Prev       Date:  2018-04-11

4.  Effects of blind spot monitoring systems on police-reported lane-change crashes.

Authors:  Jessica B Cicchino
Journal:  Traffic Inj Prev       Date:  2018-09-25       Impact factor: 1.491

5.  Using Fitness Trackers in Clinical Research: What Nurse Practitioners Need to Know.

Authors:  Lisa Cadmus-Bertram
Journal:  J Nurse Pract       Date:  2017-01       Impact factor: 0.767

6.  Predicting the Driver's Focus of Attention: The DR(eye)VE Project.

Authors:  Andrea Palazzi; Davide Abati; Simone Calderara; Francesco Solera; Rita Cucchiara
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2018-06-08       Impact factor: 6.226

7.  Radar Sensing for Intelligent Vehicles in Urban Environments.

Authors:  Giulio Reina; David Johnson; James Underwood
Journal:  Sensors (Basel)       Date:  2015-06-19       Impact factor: 3.576

  7 in total

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